In years past, device functionality was enough to sell most embedded products without much concern for cybersecurity. Of course there were exceptions, such as in critical infrastructure, aviation, and military, for which security was always of importance. But today’s environment has evolved on several fronts. First, organizations across nearly all markets are demanding Internet connectivity to monitor and control devices as well as to aggregate and analyze data. Second, the magnitude of security threats has exploded, driven by highly sophisticated hackers including organized criminal gangs seeking financial returns, creating a constantly evolving threat landscape. Third, the increasingly complex nature of connected systems makes them ever more challenging to protect. The more complex a system, the more potential vulnerabilities it may contain. And fourth, the data generated by connected devices represent an asset that is becoming increasingly valuable for organizations to derive insigh

Take back control of your infrastructure projects and build the business
case using your own data with Dell EMC’s Live Optics. We can help
create a defensible proposal, unique to your environment,
using your Live Optics data.
Take the guess work out of your projects and build a new infrastructure
based on your actual needs.
When can we set up a call to discuss?

Data-driven asset performance management can help food & beverage manufacturers leverage tools such as equipment efficiency solutions, augmented reality and secure asset connection to transition from a reactive to a prescriptive approach. This will not only help reduce CapEx and OpEx, but also empower the workforce, whilst meeting manufacturing KPIs.
This report from Frost & Sullivan shows how manufacturers can achieve 20-30% cost savings by changing their asset maintenance approach.

As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions.
Download this datasheet to learn:
What makes EBX™ software unique
Various capabilities of EBX software
The data it manages

Regardless of whether your data resides on-premises, in the cloud, or a
combination of both, you are vulnerable to security threats, data breaches,
data loss, and more. Security is often cited as a concern for organizations
who are migrating to the public cloud, but the belief that the public cloud
is not secure is a myth. In fact, the leading public cloud service providers
have built rigorous security capabilities to ensure that your applications,
assets, and services are protected. Security in the public cloud is now
becoming a driver for many organizations, but in a rapidly evolving
multicloud environment, you must keep up with changes that might
impact your security posture.
This eBook outlines the three core recommendations for cloud security
across Amazon Web Services (AWS), Microsoft Azure, and Google
Cloud Platform.

Public clouds have fundamentally changed the way organizations build,
operate, and manage applications. Security for applications in the cloud
is composed of hundreds of configuration parameters and is vastly
different from security in traditional data centers. According to Gartner,
“Through 2020, at least 95% of cloud breaches will be due to customer
misconfiguration, mismanaged credentials or insider theft, not cloud
provider vulnerabilities”1.
The uniqueness of cloud requires that security teams rethink classic
security concepts and adopt approaches that address serverless, dynamic,
and distributed cloud infrastructure. This includes rethinking security
practices across asset management, compliance, change management,
issue investigation, and incident response, as well as training and
education.
We interviewed several security experts and asked them how public
cloud transformation has changed their cloud security and compliance
responsibilities. In this e-book, we will share the top

Tips and best practices for data analytics executives
Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time.
This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.

Tips and best practices for data analytics executives
Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time.
This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg

Delivering personalized customer experience remains the top business challenge for communications
service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP
IT executives interviewed identify delivering personalized customer experience as one of their three
most important business challenges for the next 18 months. This trend emphasizes the high priority
CSPs place on how customer relationships are managed. However, several factors have an impact on
CSPs' ability to identify and then deliver customers' core needs. These include understanding the data
sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the
right expertise to mine the data sets.

AI innovation in retail starts with a tech-forward company culture, from C-suite stakeholders down to every employee. AI greatly enhances a retailer’s ability to harness data for better merchandising, marketing, and customer service. It will not only complement existing retail jobs but introduce brand new roles and skill sets into the human workforce.

Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.

Software might run the world, but software still runs on hardware. It’s a misperception that hardware has little value anymore. Every application, every workload, every data set runs on physical servers.
Read “Hardware Does Matter: Global Server Brands are Perceived as Superior for Driving Digital Business,” a Frost & Sullivan report of 500 IT decision makers, on the value of global server brands vs. commodity servers.
Look beyond commodity status to discover:
• Key server purchase criteria
• How top brands directly compare
• How to choose based on workload
Server brands very significantly, and a commodity brand may not provide the outcomes you need, especially for new and next-generation applications. Download this analyst report from Dell EMC and Intel® to learn more.

Over the last decade, the enterprise analytics landscape has dramatically
transformed. Vendors have come and gone, and platforms have
continually expanded their offerings to include new functionality and
keep pace with the demands of the businesses they serve. Originally
envisioned as an IT-centric tool for enterprise reporting, analytics today
has evolved into a business solution—empowering a range of users
across every line of business, including front-line employees, field
personnel, and executives.
The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset
within every business function. However, this practice is limited to a skilled few. The vast majority of business
professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use
analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations
remains at 30%.
The failure of e

Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.

Welcome to the future of 24/7, any-time, anywhere access to digital content - where dynamic publishing solutions are the mantra. Is your organization ready for this brave new world of digital content distribution? This whitepaper explores how to prime your organization to leverage rapid digital content consumption as a key to business intelligence.

Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.

In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.

Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced
between tactical and strategic objectives and range from improvement in operational efficiencies and
customer satisfaction to increasing existing product revenue to improving profit margins to launching
new digital revenue streams.
Successful DX relies on utilizing data for services as well as converting data into actionable insights.
This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big
Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets
and delivers the agility and efficiency needed to accelerate DX

Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced
between tactical and strategic objectives and range from improvement in operational efficiencies and
customer satisfaction to increasing existing product revenue to improving profit margins to launching
new digital revenue streams.
Successful DX relies on utilizing data for services as well as converting data into actionable insights.
This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big
Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets
and delivers the agility and efficiency needed to accelerate DX

Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced
between tactical and strategic objectives and range from improvement in operational efficiencies and
customer satisfaction to increasing existing product revenue to improving profit margins to launching
new digital revenue streams.
Successful DX relies on utilizing data for services as well as converting data into actionable insights.
This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big
Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets
and delivers the agility and efficiency needed to accelerate DX

Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced
between tactical and strategic objectives and range from improvement in operational efficiencies and
customer satisfaction to increasing existing product revenue to improving profit margins to launching
new digital revenue streams.
Successful DX relies on utilizing data for services as well as converting data into actionable insights.
This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big
Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets
and delivers the agility and efficiency needed to accelerate DX

Bandwidth. Speed. Throughput. These terms are not interchangeable. They are
interrelated concepts in data networking that help measure capacity, the time
it takes to get from one point to the next and the actual amount of data
you’re receiving, respectively.
When you buy an Internet connection from Spectrum Enterprise, you’re buying
a pipe between your office and the Internet with a set capacity, whether it is
25 Mbps, 10 Gbps, or any increment in between. However, the bandwidth we
provide does not tell the whole story; it is the throughput of the entire system
that matters. Throughput is affected by obstacles, overhead and latency,
meaning the throughput of the system will never equal the bandwidth of your
Internet connection.
The good news is that an Internet connection from Spectrum Enterprise is
engineered to ensure you receive the capacity you purchase; we proactively
monitor your bandwidth to ensure problems are dealt with promptly, and
we are your advocates across the Internet w

Why your data catalog won’t deliver significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%.
Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data.
However, modernizing data plat